Python Pandas - Return the dtype object of the underlying data

To return the dtype object of the underlying data, use the index.dtype property in Pandas.

At first, import the required libraries −

import pandas as pd

Creating the index −

index = pd.Index(['Car','Bike', 'Shop','Car','Airplace', 'Truck'])

Display the index −

print("Pandas Index...\n",index)

Return the dtype of the data −

print("\nThe dtype object...\n",index.dtype)

Example

Following is the code −

import pandas as pd

# Creating the index
index = pd.Index(['Car','Bike', 'Shop','Car','Airplace', 'Truck'])

# Display the index
print("Pandas Index...\n",index)

# Return an array representing the data in the Index
print("\nArray...\n",index.values)

# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)

# Return a tuple of the shape of the underlying data
print("\nA tuple of the shape of underlying data...\n",index.shape)

Output

This will produce the following code −

Pandas Index...
Index(['Car', 'Bike', 'Shop', 'Car', 'Airplace', 'Truck'], dtype='object')

Array...
['Car' 'Bike' 'Shop' 'Car' 'Airplace' 'Truck']

The dtype object...
object

A tuple of the shape of underlying data...
(6,)